DOI:
https://doi.org/10.71337/inlibrary.uz.universaljurnal.110834Kalit so‘zlar:
artificial intelligence dental radiographs automated analysis convolutional neural networks statistical analysis diagnostic accuracy.Annotasiya
Sun'iy intellekt (AI) tish rentgenogrammalarining avtomatlashtirilgan tahlilini o'zgartirdi
tish patologiyalarini aniqlashda diagnostika aniqligi va samaradorligini oshirish. Ushbu tadqiqot o'rganadi
sun'iy intellektga asoslangan vositalar, xususan konvolyutsion neyron tarmoqlar (CNN) va chuqur o'rganishning roli
algoritmlar, karies, periodontal kasallik kabi holatlar uchun tish rentgenogrammasini talqin qilishda,
va periapikal lezyonlar. Statistik tahlillar, jumladan, sezgirlik, o'ziga xoslik va maydon ostida
Qabul qiluvchining ishlash xarakteristikasi egri chizig'i (AUC) AI samaradorligini aniqlash uchun taqdim etiladi.
Ma'lumotlarning o'zgaruvchanligi, modelni umumlashtirish va klinik tekshirish kabi muammolar ham mavjud
tekshirildi. Maqolada tish rentgenogrammasida AI ning hozirgi holati va kelajakdagi salohiyati baholanadi
tahlil qilish.
Bibliografik manbalar
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